Results of Fitted Neural Network Models on Malaysian Aggregate Dataset
| Main Authors: | Azura Md Ghani, Nor; Universiti Teknologi MARA, Bin Ahmad Kamaruddin, Saadi; Universiti Teknologi MARA, Musirin, Ismail; Universiti Teknologi MARA, Hashim, Hishamuddin |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Institute of Advanced Engineering and Science
, 2018
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| Subjects: | |
| Online Access: |
http://journal.portalgaruda.org/index.php/EEI/article/view/1177 http://journal.portalgaruda.org/index.php/EEI/article/view/1177/830 |
Daftar Isi:
- This result-based paper presents the best results of both fitted BPNN-NAR and BPNN-NARMA on MCCI Aggregate dataset with respect to different error measures. This section discusses on the results in terms of the performance of the fitted forecasting models by each set of input lags and error lags used, the performance of the fitted forecasting models by the different hidden nodes used, the performance of the fitted forecasting models when combining both inputs and hidden nodes, the consistency of error measures used for the fitted forecasting models, as well as the overall best fitted forecasting models for Malaysian aggregate cost indices dataset.